Extraction method of receiver features of product

Abstract

The invention discloses an extraction method of receiver features of a product. According to the method, the receiver features of the product is extracted through statistical calculation, extraction and conversion according to the comment contents of the products by users on the internet, the personal information disclosed on microblogs and concerning information and speech contents about the product on the microblogs. The method comprises the following steps: forming on-line commenting data of a product e, forming a product user name set Ce, forming a product user microblog user set Ue and the value ua on each attribute of microblog users, and obtaining the receiver features of the product through receiver feature conversion and calculation. The method is especially suitable for extracting the population features of receivers of the product from the online comments of product buyers, the concerning information and speech of the product users on the microblog and the personal information disclosed by the product users, and has the characteristics of visualization and nature, high accuracy and strong scalability.

Description

Technical field [0001] The present invention belongs to the field of information extraction systems, and specifically relates to a product audience feature extraction method. The method is particularly suitable for product buyers’ online reviews, product users’ attention and speech on Weibo, and product users’ personal information disclosed. Extract the group characteristics of the product audience. Background technique [0002] Product demographics refer to the characteristics of the users who are suitable for the product or the group of consumers who like the product. The extraction of product audience characteristics can be applied to a series of product activities such as product planning, production, upgrading, marketing and promotion. For example, it can be targeted to recommend products to consumers based on the extracted product audience characteristics. [0003] Among the existing technologies, one is to use electronic questionnaire survey technology to allow users to fil...

AI Technical Summary

Problems solved by technology

This method also has shortcomings. On the one hand, the data is too sparse to obtain correct results due to the lack of perfect personal information among users of the e-commerce mall; and the product audience characteristics obtained only from the purchase records are too one-sided; The purchase records and personal information of buyers are generally not disclosed, and it is difficult for others to obtain the data they rely on

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